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Adaptive Taylor Kolmogorov–Arnold Network for Hyperspectral Image Classification
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2863
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2864
Control-Flow-Based Methods to Support the Development of Sound Workflows
Published 2021-07-01“…These techniques provide detailed diagnostic information and have a cubic asymptotic complexity of runtime. Their efficiency and quality is evaluated using a benchmark of over thousand real-world workflows together with two leading state-of-the-art approaches.…”
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2865
The Role of Top Management Commitment in Enterprise Architecture Development in Governmental Organizations
Published 2018-12-01Get full text
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2866
BinaryViT: Binary Vision Transformer for Hyperspectral Image Classification
Published 2025-01-01Get full text
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2867
UAV-FAENet: Frequency-Aware and Attention-Enhanced Network for Remote Sensing Semantic Segmentation of UAV Imagery
Published 2025-01-01“…To address these issues, this article proposes a lightweight and efficient semantic segmentation network for UAV remote sensing images, named UAV-FAENet, aiming to improve the detection accuracy of small targets and the quality of edge segmentation. …”
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2868
A Phase Error Compensation Method for High-Rise Targets in High-Resolution SAR Images
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2869
A Weighted Low-Rank and Sparse Constraint-Based Multichannel Radar Forward-Looking Imaging Method
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2870
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2871
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A Multiscale Vision Transformer-Based Multimodal GeoAI Model for Mapping Arctic Permafrost Thaw
Published 2025-01-01“…However, their small scale compared to other landform features, vague boundaries, and spatiotemporal variation pose significant challenges for accurate detection. In this article, we extend a state-of-the-art deep learning model to delineate RTS features across the Arctic in a multimodal setting. …”
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2874
Satellite-Derived Bathymetry Combined With Sentinel-2 and ICESat-2 Datasets Using Deep Learning
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2875
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2876
Extraction of Raft Aquaculture in SDGSAT-1 Images via Shape Prior Segmentation Network
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2877
River Channel Microgeomorphic Feature Extraction and Potential Sandstorm Source Identification Method Based on a Convolutional Autoencoder Model
Published 2025-01-01“…It addresses the challenges of spatiotemporal feature extraction in complex geographical environments, and the identification of potential wind-blown sand sources in river channels. …”
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2878
SGRD: A Ship Group Relationship Description Method Based on Scene Graph Generation With a Global-Local Context Fusion Network
Published 2025-01-01“…Consequently, in specific scenes, the concise and efficient description of spatial-temporal relationships between high-value objects (such as vehicles and ships) presents a challenge. …”
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CSTFNet: A CNN and Dual Swin-Transformer Fusion Network for Remote Sensing Hyperspectral Data Fusion and Classification of Coastal Areas
Published 2025-01-01“…In recent years, the convolutional neural network (CNN) framework and transformer models have demonstrated strong performance in HSI classification, especially in applications requiring precise change detection and analysis. However, due to the high dimensionality of HSI data and the complexity of spectral-spatial feature extraction, achieving accurate results in coastal areas remains challenging. …”
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